Idan Achituve

According to our database, Idan Achituve authored at least 14 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Bayesian Uncertainty for Gradient Aggregation in Multi-Task Learning.

Idan Achituve, Idit Diamant, Arnon Netzer, Gal Chechik, Ethan Fetaya

CoRR, 2024

De-Confusing Pseudo-Labels in Source-Free Domain Adaptation.

Idit Diamant, Idan Achituve, Arnon Netzer

CoRR, 2024

2023

Communication Efficient Distributed Learning Over Wireless Channels.

Idan Achituve, Wenbo Wang, Ethan Fetaya, Amir Leshem

IEEE Signal Process. Lett., 2023

Data Augmentations in Deep Weight Spaces.

Aviv Shamsian, David W. Zhang, Aviv Navon, Yan Zhang, Miltiadis Kofinas, Idan Achituve, Riccardo Valperga, Gertjan J. Burghouts, Efstratios Gavves, Cees G. M. Snoek, Ethan Fetaya, Gal Chechik, Haggai Maron

CoRR, 2023

GD-VDM: Generated Depth for better Diffusion-based Video Generation.

Ariel Lapid, Idan Achituve, Lior Bracha, Ethan Fetaya

CoRR, 2023

Guided Deep Kernel Learning.

Idan Achituve, Gal Chechik, Ethan Fetaya

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Equivariant Architectures for Learning in Deep Weight Spaces.

Aviv Navon, Aviv Shamsian, Idan Achituve, Ethan Fetaya, Gal Chechik, Haggai Maron

Proceedings of the International Conference on Machine Learning, 2023

2022

Functional Ensemble Distillation.

Coby Penso, Idan Achituve, Ethan Fetaya

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Multi-Task Learning as a Bargaining Game.

Aviv Navon, Aviv Shamsian, Idan Achituve, Haggai Maron, Kenji Kawaguchi, Gal Chechik, Ethan Fetaya

Proceedings of the International Conference on Machine Learning, 2022

2021

Self-Supervised Learning for Domain Adaptation on Point Clouds.

Idan Achituve, Haggai Maron, Gal Chechik

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Personalized Federated Learning With Gaussian Processes.

Idan Achituve, Aviv Shamsian, Aviv Navon, Gal Chechik, Ethan Fetaya

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning.

Idan Achituve, Aviv Navon, Yochai Yemini, Gal Chechik, Ethan Fetaya

Proceedings of the 38th International Conference on Machine Learning, 2021

Auxiliary Learning by Implicit Differentiation.

Aviv Navon, Idan Achituve, Haggai Maron, Gal Chechik, Ethan Fetaya

Proceedings of the 9th International Conference on Learning Representations, 2021

2019

Interpretable Online Banking Fraud Detection Based On Hierarchical Attention Mechanism.

Idan Achituve, Sarit Kraus, Jacob Goldberger

Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019